Sledování pohybu a změny výrazu obličeje v obrazech

Abstract

The aim of this thesis was to get familiar with face detection and analysis methods and to utilize gained information and available libraries for implementation of face movement and expression tracking. The libraries used in the suggested solution were OpenCV and dlib. The substantial part of the implementation is facial landmark detection and analysis used for Ąnding out the head pose, which is then used for mouse movement controlling via head rotation.

Description

Subject(s)

face detection, facial landmarks, Histogram of Oriented Gradient, head pose, Haar features, OpenCV, dlib

Citation